• DocumentCode
    472496
  • Title

    Parameter Identification of Nonlinear Viscoelastic-Plastic Constitutive Equation of Soybean and Cottonseed Based on Particles Swarm Optimization

  • Author

    Zheng, Xiao ; Lin, Guoxiang ; Wang, Jingzhou ; Zhang, Yaxin

  • Author_Institution
    Wuhan Polytech. Univ., Wuhan
  • fYear
    2008
  • fDate
    23-24 Jan. 2008
  • Firstpage
    546
  • Lastpage
    552
  • Abstract
    By using of combining theoretical model with empirical model, the nonlinear viscoelastic-plastic constitutive equations of soybean and cottonseed were developed on the basis of the creep test. The parameter inverse problem of constitutive model was proposed using improved particles swarm optimization. Numerical simulations of creep of soybean and cottonseed were carried out. The definition of critical pressing time for oil extraction and the method for determining the critical pressing time using creep rate were proposed. The values of critical pressing time for extruded soybean and cottonseed under six applied pressures were evaluated. Results indicated that the nonlinear viscoelastic-plastic constitutive model could simulate rheological behaviors of soybean and cottonseed very well. Mean relative deviations between the experimental and predicted values of soybean and cottonseed were 1.55% and 1.93%, respectively. There were significant decreases in the values for the creep rates in the early stage of pressing, and decreases to an insignificant and stabilize value in the later stage.
  • Keywords
    creep testing; elastoplasticity; particle swarm optimisation; pressing; vegetable oils; viscoelasticity; cottonseed; nonlinear viscoelastic-plastic constitutive equation; oil extraction; parameter identification; particles swarm optimization; soybean creep; soybean rheological behaviors; Creep; Elasticity; Inverse problems; Nonlinear equations; Numerical simulation; Parameter estimation; Particle swarm optimization; Pressing; Testing; Viscosity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Discovery and Data Mining, 2008. WKDD 2008. First International Workshop on
  • Conference_Location
    Adelaide, SA
  • Print_ISBN
    978-0-7695-3090-1
  • Type

    conf

  • DOI
    10.1109/WKDD.2008.65
  • Filename
    4470457